Deadline: 15. February
When: 15. June – 24. July 2020
Where: Oslo, Grensen
How: Email to firstname.lastname@example.org
Keywords: AI Hardware, Satellite Imagery Analysis, Deep Learning, On-Board Processing, Object Detection
We have now opened our call for summer interns 2020!
If you are excited about applied space technology, we encourage you to apply.
Not a techie? Let’s have a chat!
Applications will be reviewed as they come.
You and your teammates will work with Vake to explore methods for applying object detection onboard a satellite. The project focus will be adapted to fit the experience of the team, and you will help shape the direction! It will involve defining hardware specifications, exploring methods for deep learning, neural network compression/quantization and similar.
You will also be invited to take part in our yearly social events (like brewing our own space-beer 🚀🍻).Vake is currently in dialogue with the European Space Agency to participate in the Phi-Sat 2 Challenge (program for building a new AI satellite). The result of this summer project will be of great value to this challenge.
Send your application and questions to:
Vake is a Norwegian startup consisting of ex-students at NTNU. We are using optical satellite images to do detection, classification and identification of vessels globally. This is an unused data source for this purpose and is independent of what information the ships and vessels are reporting themselves.
The current ship tracking system, Automatic Identification System (AIS), relies on ships and vessels being co-operating vessels, meaning that their tracker is reporting their position at all times. Non-cooperative vessels are to a much larger extent involved in criminal, illegal and grey area activities.
Vakes mission to do real-time detection of vessels will also require explorative activities into what would be needed to put the Vake algorithm onto space-graded hardware to perform onboard processing of optical images.
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